fuddly: a fuzzing and data manipulation framework

List of features

• Graph-based data model that enables:
  • to represent complex data formats and also to mix them
  • complex data manipulations
  • to dissect/absorb existing data
  • generation & mutation fuzzing strategy
• Fuzzing automation framework:
  • target abstraction
  • monitoring means based on independant probes
  • replay & logging
  • data manipulation based on operators (objects that implement specific data transformation)
  • scenario infrastructure (for modeling protocol logic)
  • virtual directors
• and so on...

What's still missing

• Refer to TODO file

About the Documentation

• The documentation is available here.
• In order to generate the documentation from the source, follow these steps:
  1. go to the folder docs/
  2. execute make html to generate HTML documentation
  3. execute make latexpdf to generate PDF documentation
  4. generated documentation is located in docs/build/

Basic Installation Instructions

Installation with pipenv:

$ cd <path_to_fuddly>
$ pipenv install   # or pipenv sync (if you want to match exactly the environment
                   # described in fuddly Pipfile.lock)
$ pipenv shell

Refer to the documentation for more information

Launch fuddly shell

• If fuddly is installed either through pip/pipenv or a package from your distribution:

  $ fuddly shell
  

• If fuddly is not installed:

  $ python -m fuddly.cli shell
  

Launch fuddly Test Cases

The package test include all unit & integration test cases of fuddly itself. From the src/ directory, usage is as follows:

• To launch all the tests, issue the command:

  $ python -m fuddly.test -a
  

• To launch all the tests but the longer ones, issue the command:

  $ python -m fuddly.test
  

• To avoid data model specific test cases use the option --ignore-dm-specifics

• To launch a specific test category issue the following command:

  $ python -m fuddly.test fuddly.test.<test_package>.<test_module>.<Test_Class>.<test_method>